ScienceSoft vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
ScienceSoft (4.0/5) edges ahead of Addepto (3.9/5) overall. ScienceSoft is the better choice for manufacturing, healthcare, and oil & gas enterprises needing ISO-certified ML delivery from a stable 35-year-old vendor. Addepto is the stronger option for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. The right choice depends on your project size, budget, and required tech stack.
ScienceSoft vs Addepto: head-to-head summary
| Criterion | ScienceSoft | Addepto |
|---|---|---|
| Founded | 1989 | 2017 |
| HQ | McKinney, TX, USA | Warsaw, Poland |
| Team size | 500–1,000 | 50–100 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Manufacturing, healthcare, and oil & gas enterprises needing ISO-certified ML delivery from a stable 35-year-old vendor | Manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience |
| Pricing model | Fixed project, T&M, Dedicated team | Fixed project, T&M |
| Min. engagement | $30K | $15K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Manufacturing, Healthcare, Financial Services, Logistics, Energy / Oil & Gas | Manufacturing, Retail / E-commerce, Financial Services, Logistics |
ScienceSoft vs Addepto: overview
ScienceSoft
ScienceSoft was founded in 1989 and is headquartered in McKinney, Texas, with a team of 500–1,000 professionals spanning software development, data science, cybersecurity, and IT consulting. Its machine learning practice focuses on manufacturing, healthcare, and oil and gas — regulated industries where domain expertise, compliance knowledge, and long-term support matter more than speed. ScienceSoft's longevity provides clients with an unusually stable vendor relationship: unlike startups or mid-sized boutiques, it has survived multiple technology cycles and carries ISO 9001 and ISO 27001 certifications that many manufacturing and healthcare clients require before signing.
Addepto
Addepto is a machine learning and AI consultancy established in 2017 and headquartered in Warsaw, Poland, with approximately 52 employees. Despite its small size, Addepto has built a focused portfolio in manufacturing predictive maintenance, logistics AI, and retail recommendation engines, delivering scalable ML solutions that align with the specific data patterns and operational constraints of each vertical. The firm's notable projects include predictive maintenance implementations for manufacturing clients, logistics optimisation using AI-driven analysis, and recommendation engines for retail. Addepto is one of the more accessible boutiques by team size and minimum engagement, suitable for companies requiring a specialised ML partner without enterprise-level overhead.
Services and capabilities: ScienceSoft vs Addepto
| Capability | ScienceSoft | Addepto |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✓ | ✓ |
| Computer vision | ✓ | ✓ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✗ | ✗ |
| AI strategy | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✗ |
Tech stack comparison: ScienceSoft vs Addepto
| Framework / platform | ScienceSoft | Addepto |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | ✓ |
Pricing comparison: ScienceSoft vs Addepto
| Criterion | ScienceSoft | Addepto |
|---|---|---|
| Minimum engagement | $30K | $15K |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ScienceSoft vs Addepto
| Dimension | ScienceSoft | Addepto |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, Financial Services | Manufacturing, Retail / E-commerce, Financial Services |
| Best use cases | Predictive maintenance ML for manufacturing and industrial equipment with compliance documentation, Medical image analysis and clinical decision support systems for regulated healthcare environments | Predictive maintenance ML for manufacturing equipment with IoT sensor data integration, Recommendation engine development for e-commerce and retail personalisation platforms |
| Typical project type | Fixed project | Fixed project |
ScienceSoft vs Addepto: pros and cons
| ScienceSoft | |
|---|---|
| + | 35+ years of operation provides rare vendor stability for enterprises requiring long-term maintenance commitments |
| + | ISO 9001 and ISO 27001 certifications satisfy compliance requirements in manufacturing, healthcare, and regulated industries |
| + | Broad technology stack spans ML, cybersecurity, and traditional software — reduces need for separate vendors on complex projects |
| + | McKinney, TX headquarters provides US-based relationship management for North American enterprise clients |
| + | Competitively priced relative to US-headquartered firms of comparable certification status |
| - | ML is one practice within a very broad portfolio — specialist depth in cutting-edge deep learning is thinner than ML-native boutiques |
| - | Conservative delivery style suits compliance-heavy industries but can slow projects where experimentation and iteration are prioritised |
| - | Less suitable for startups needing fast ML prototyping or cutting-edge generative AI capability |
| Addepto | |
|---|---|
| + | Focused manufacturing and retail portfolio reduces onboarding time on predictive maintenance and recommendation system projects |
| + | Small team ensures senior practitioner involvement throughout the engagement rather than junior staffing after kickoff |
| + | Competitive Warsaw-based rates are well below US boutiques of equivalent vertical ML depth |
| + | Accessible $15K minimum allows SMEs to engage professional ML delivery without enterprise investment levels |
| - | Team of ~52 strictly limits concurrent capacity — unsuitable for clients needing multiple simultaneous ML tracks |
| - | Founded 2017 — shorter track record than established competitors for high-stakes procurement decisions |
| - | Narrow vertical focus means less applicable experience for clients in healthcare, financial services, or media |
| - | Less infrastructure in generative AI, agentic systems, or large-scale MLOps compared to larger firms |
Who should choose ScienceSoft?
ScienceSoft is the right choice for manufacturing, healthcare, and oil & gas enterprises needing ISO-certified ML delivery from a stable 35-year-old vendor.
35+ years of operation with ISO 9001 and ISO 27001 certifications — provides compliance-mandated vendor stability rare in the ML agency market. Minimum engagement starts at $30K. Works best with clients in Manufacturing, Healthcare, Financial Services, Logistics, Energy / Oil & Gas.
Who should choose Addepto?
Addepto is the right choice for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. Minimum engagement starts at $15K. Works best with clients in Manufacturing, Retail / E-commerce, Financial Services, Logistics.
Decision matrix: ScienceSoft vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ScienceSoft |
| You need a large dedicated team for an ongoing programme | ScienceSoft |
| Your budget is at the lower end | Addepto |
| You need specialist depth in a specific vertical | ScienceSoft |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: ScienceSoft vs Addepto
| Use case | ScienceSoft fit | Addepto fit | Winner |
|---|---|---|---|
| Predictive maintenance ML for manufacturing and industrial equipment with compliance documentation | Strong | Strong | Both equally |
| Medical image analysis and clinical decision support systems for regulated healthcare environments | Strong | Limited | ScienceSoft |
| Predictive maintenance ML for manufacturing equipment with IoT sensor data integration | Strong | Strong | Both equally |
| Recommendation engine development for e-commerce and retail personalisation platforms | Limited | Strong | Addepto |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ScienceSoft vs Addepto
ScienceSoft (4.0/5) is the stronger overall choice for most Machine Learning projects. 35+ years of operation with ISO 9001 and ISO 27001 certifications — provides compliance-mandated vendor stability rare in the ML agency market. It is best for manufacturing, healthcare, and oil & gas enterprises needing ISO-certified ML delivery from a stable 35-year-old vendor.
Addepto (3.9/5) is the better choice when manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
ScienceSoft vs Addepto FAQ
Is ScienceSoft better than Addepto?
ScienceSoft (4.0/5) scores higher overall, but "better" depends on your use case. ScienceSoft is better for manufacturing, healthcare, and oil & gas enterprises needing ISO-certified ML delivery from a stable 35-year-old vendor. Addepto is better for manufacturing, logistics, and retail SMEs needing a focused ML boutique with direct senior access and vertical-specific delivery experience.
How do ScienceSoft and Addepto differ in pricing?
ScienceSoft uses fixed project, t&m, dedicated team pricing with a minimum engagement of $30K. Addepto uses fixed project, t&m pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ScienceSoft or Addepto?
ScienceSoft is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between ScienceSoft and Addepto?
ScienceSoft's primary differentiator is: 35+ years of operation with iso 9001 and iso 27001 certifications — provides compliance-mandated vendor stability rare in the ml agency market. Addepto's primary differentiator is: focused vertical expertise in manufacturing predictive maintenance and retail ai at boutique scale — avoids the generalist overhead of larger firms for targeted use cases. They also differ in team size (500–1,000 vs 50–100), minimum engagement ($30K vs $15K), and primary industries served (Manufacturing, Healthcare vs Manufacturing, Retail / E-commerce).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.